Personality Types Prediction based on Machine Learning

Any personality type can be characterised by a number of psychological traits which govern people behavior in different life situations. It is considered that those psychological traits are genetically determined and do not change over the years. However, a person can consciously learn to control their behaviour and personality traits manifestationin the course of socialization and communications with other people to some extent. But innate psychological type will still govern their decision-making. This phenomenon works vice versa: the behavioral analysis of a person based their digital footprints can define their personality type with high accuracy. Fayrix scoring solution utilised these principles and serves to discover personality types for various business needs.

Methodology of definingPERSONALITY TYPE

There are over 20 different methods of defining personality type. Predictive analytics shows good results using OCEAN methodology and evaluates 5 personality traits:

1

Extraversion

2

Neuroticism

3

Openness to experience

4

Conscientiosness

5

Agreeableness

The accuracy of automated psychological scoring is 94%. Comparable results can be obtained using the MBTI methodology.

SOURCE DATA for credit scoring

IT infrastructures of large companies (corporate social media, retail loyalty programs, bank card operations, fiscal data) store large arrays of data on human behavior. AI-based methods and the calculation performance of modern computers enable to analyze these datasets revealing insights about the most probable behavior of a person and/or their personality type.

BENEFITS

Deep objective analysis of personality type

Unbiased estimations

Anonymous research

Self-learning and model optimization based on new data

Social scoring (defining personality type based on social media profile)

Minimum number of errors during filling-out and analysis process with no need in long surveys

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